class_docstr: predictor configure
  :param pre_processor preprocessor of ImageSet before model inference
  :param post_processor postprocessor of ImageSet after model inference
  :param batch_per_partition batch size per partition
  :param label_map mapping from prediction result indexes to real dataset labels
  :param feature_padding_param featurePaddingParam if the inputs have variant size
code: def label_map(self):
      return callZooFunc(self.bigdl_type, "getLabelMap", self.value)
  
file_path: analytics-zoo/pyzoo/zoo/models/image/common/image_config.py
imports: import sys
  from bigdl.util.common import JavaValue
  from zoo.common.utils import callZooFunc
  from zoo.feature.common import Preprocessing
label_desc: Use image node_id 2 for calling the ImageConfigure obj's underlying member method code with example usage: obj.label_map() and returns: callZooFunc